Search ga_ls7e_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

GQA Circular error probable (90%) from:

GQA Circular error probable (90%) to (exclusive):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

A Landsat Collection 1 Level-1 product identifier including the Collection processing levels, processing date, collection number, and collection tier category (e.g. ‘LE07_L1TP_098084_20210307_20210308_02_RT’) :

A Landsat scene ID including WRS path and row, year and day, ground station identifier and archive version number (e.g. ‘LC80900852021066LGN00’) :

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Landsat region_code is a scene path row: '{:03d}{:03d}.format(path,row)' For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2012-06-03 11:40:12	ga_ls7e_ard_3-0-0_114077_2012-06-03_final
2012-06-19 11:40:16	ga_ls7e_ard_3-0-0_114077_2012-06-19_final
2012-08-06 11:40:51	ga_ls7e_ard_3-0-0_114077_2012-08-06_final
2012-08-22 11:41:01	ga_ls7e_ard_3-0-0_114077_2012-08-22_final
2012-10-09 11:41:28	ga_ls7e_ard_3-0-0_114077_2012-10-09_final
2012-10-25 11:41:39	ga_ls7e_ard_3-0-0_114077_2012-10-25_final
2012-11-10 11:41:42	ga_ls7e_ard_3-0-0_114077_2012-11-10_final
2012-12-12 11:41:53	ga_ls7e_ard_3-0-0_114077_2012-12-12_final
2013-02-14 11:42:01	ga_ls7e_ard_3-0-0_114077_2013-02-14_final
2013-03-02 11:41:58	ga_ls7e_ard_3-0-0_114077_2013-03-02_final
2013-03-18 11:41:56	ga_ls7e_ard_3-0-0_114077_2013-03-18_final
2013-04-19 11:41:47	ga_ls7e_ard_3-0-0_114077_2013-04-19_final
2013-05-05 11:41:43	ga_ls7e_ard_3-0-0_114077_2013-05-05_final
2013-05-21 11:41:41	ga_ls7e_ard_3-0-0_114077_2013-05-21_final
2013-06-06 11:41:31	ga_ls7e_ard_3-0-0_114077_2013-06-06_final
2013-06-22 11:41:27	ga_ls7e_ard_3-0-0_114077_2013-06-22_final
2013-08-25 11:41:13	ga_ls7e_ard_3-0-0_114077_2013-08-25_final
2013-09-26 11:41:34	ga_ls7e_ard_3-0-0_114077_2013-09-26_final
2013-10-28 11:41:53	ga_ls7e_ard_3-0-0_114077_2013-10-28_final
2013-12-15 11:42:09	ga_ls7e_ard_3-0-0_114077_2013-12-15_final
2014-01-16 11:42:25	ga_ls7e_ard_3-0-0_114077_2014-01-16_final
2014-02-17 11:42:33	ga_ls7e_ard_3-0-0_114077_2014-02-17_final
2014-03-05 11:42:36	ga_ls7e_ard_3-0-0_114077_2014-03-05_final
2014-04-22 11:43:00	ga_ls7e_ard_3-0-0_114077_2014-04-22_final
2014-05-08 11:43:04	ga_ls7e_ard_3-0-0_114077_2014-05-08_final
2014-05-24 11:43:11	ga_ls7e_ard_3-0-0_114077_2014-05-24_final
2014-06-25 11:43:17	ga_ls7e_ard_3-0-0_114077_2014-06-25_final
2014-07-11 11:43:21	ga_ls7e_ard_3-0-0_114077_2014-07-11_final
2014-07-27 11:43:26	ga_ls7e_ard_3-0-0_114077_2014-07-27_final
2014-08-12 11:43:29	ga_ls7e_ard_3-0-0_114077_2014-08-12_final
2014-10-15 11:43:48	ga_ls7e_ard_3-0-0_114077_2014-10-15_final
2014-12-02 11:44:12	ga_ls7e_ard_3-0-0_114077_2014-12-02_final
2014-12-18 11:44:20	ga_ls7e_ard_3-0-0_114077_2014-12-18_final
2015-01-19 11:44:22	ga_ls7e_ard_3-0-0_114077_2015-01-19_final
2015-02-04 11:44:31	ga_ls7e_ard_3-0-0_114077_2015-02-04_final
2015-02-20 11:44:35	ga_ls7e_ard_3-0-0_114077_2015-02-20_final
2015-03-08 11:44:43	ga_ls7e_ard_3-0-0_114077_2015-03-08_final
2015-03-24 11:44:52	ga_ls7e_ard_3-0-0_114077_2015-03-24_final
2015-04-09 11:45:00	ga_ls7e_ard_3-0-0_114077_2015-04-09_final
2015-05-11 11:45:14	ga_ls7e_ard_3-0-0_114077_2015-05-11_final
2015-05-27 11:45:17	ga_ls7e_ard_3-0-0_114077_2015-05-27_final
2015-06-12 11:45:25	ga_ls7e_ard_3-0-0_114077_2015-06-12_final
2015-07-30 11:45:35	ga_ls7e_ard_3-0-0_114077_2015-07-30_final
2015-08-15 11:45:40	ga_ls7e_ard_3-0-0_114077_2015-08-15_final
2015-10-02 11:45:44	ga_ls7e_ard_3-0-0_114077_2015-10-02_final
2015-11-03 11:46:18	ga_ls7e_ard_3-0-0_114077_2015-11-03_final
2015-12-21 11:47:05	ga_ls7e_ard_3-0-0_114077_2015-12-21_final
2016-01-06 11:47:19	ga_ls7e_ard_3-0-0_114077_2016-01-06_final
2016-01-22 11:47:32	ga_ls7e_ard_3-0-0_114077_2016-01-22_final
2016-03-10 11:47:53	ga_ls7e_ard_3-0-0_114077_2016-03-10_final
2016-03-26 11:47:58	ga_ls7e_ard_3-0-0_114077_2016-03-26_final
2016-05-13 11:48:13	ga_ls7e_ard_3-0-0_114077_2016-05-13_final
2016-05-29 11:48:18	ga_ls7e_ard_3-0-0_114077_2016-05-29_final
2016-06-30 11:48:23	ga_ls7e_ard_3-0-0_114077_2016-06-30_final
2016-07-16 11:48:23	ga_ls7e_ard_3-0-0_114077_2016-07-16_final
2016-08-01 11:48:26	ga_ls7e_ard_3-0-0_114077_2016-08-01_final
2016-09-02 11:48:31	ga_ls7e_ard_3-0-0_114077_2016-09-02_final
2016-09-18 11:48:33	ga_ls7e_ard_3-0-0_114077_2016-09-18_final
2016-10-04 11:48:35	ga_ls7e_ard_3-0-0_114077_2016-10-04_final
2016-12-23 11:48:12	ga_ls7e_ard_3-0-0_114077_2016-12-23_final
2017-01-08 11:48:03	ga_ls7e_ard_3-0-0_114077_2017-01-08_final
2017-01-24 11:47:52	ga_ls7e_ard_3-0-0_114077_2017-01-24_final
2017-02-25 11:47:52	ga_ls7e_ard_3-0-0_114077_2017-02-25_final
2017-03-13 11:47:59	ga_ls7e_ard_3-0-0_114077_2017-03-13_final
2017-04-14 11:48:09	ga_ls7e_ard_3-0-0_114077_2017-04-14_final
2017-04-30 11:48:16	ga_ls7e_ard_3-0-0_114077_2017-04-30_final
2017-05-16 11:48:19	ga_ls7e_ard_3-0-0_114077_2017-05-16_final
2017-06-17 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-06-17_final
2017-08-04 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-08-04_final
2017-08-20 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-08-20_final
2017-09-05 11:48:26	ga_ls7e_ard_3-0-0_114077_2017-09-05_final
2017-10-23 11:48:28	ga_ls7e_ard_3-0-0_114077_2017-10-23_final
2017-11-08 11:48:27	ga_ls7e_ard_3-0-0_114077_2017-11-08_final
2017-11-24 11:48:22	ga_ls7e_ard_3-0-0_114077_2017-11-24_final
2017-12-10 11:48:14	ga_ls7e_ard_3-0-0_114077_2017-12-10_final
2018-01-11 11:47:51	ga_ls7e_ard_3-0-0_114077_2018-01-11_final
2018-01-27 11:47:36	ga_ls7e_ard_3-0-0_114077_2018-01-27_final
2018-02-28 11:47:12	ga_ls7e_ard_3-0-0_114077_2018-02-28_final
2018-03-16 11:47:01	ga_ls7e_ard_3-0-0_114077_2018-03-16_final
2018-04-01 11:46:47	ga_ls7e_ard_3-0-0_114077_2018-04-01_final
2018-04-17 11:46:32	ga_ls7e_ard_3-0-0_114077_2018-04-17_final
2018-05-03 11:46:15	ga_ls7e_ard_3-0-0_114077_2018-05-03_final
2018-05-19 11:45:59	ga_ls7e_ard_3-0-0_114077_2018-05-19_final
2018-06-04 11:45:44	ga_ls7e_ard_3-0-0_114077_2018-06-04_final
2018-06-20 11:45:26	ga_ls7e_ard_3-0-0_114077_2018-06-20_final
2018-07-06 11:45:07	ga_ls7e_ard_3-0-0_114077_2018-07-06_final
2018-07-22 11:44:50	ga_ls7e_ard_3-0-0_114077_2018-07-22_final
2018-08-07 11:44:33	ga_ls7e_ard_3-0-0_114077_2018-08-07_final
2018-08-23 11:44:14	ga_ls7e_ard_3-0-0_114077_2018-08-23_final
2018-09-08 11:43:54	ga_ls7e_ard_3-0-0_114077_2018-09-08_final
2018-10-26 11:42:47	ga_ls7e_ard_3-0-0_114077_2018-10-26_final
2018-11-11 11:42:26	ga_ls7e_ard_3-0-0_114077_2018-11-11_final
2018-11-27 11:42:02	ga_ls7e_ard_3-0-0_114077_2018-11-27_final
2018-12-13 11:41:36	ga_ls7e_ard_3-0-0_114077_2018-12-13_final
2018-12-29 11:41:09	ga_ls7e_ard_3-0-0_114077_2018-12-29_final
2019-01-14 11:40:39	ga_ls7e_ard_3-0-0_114077_2019-01-14_final
2019-02-15 11:39:39	ga_ls7e_ard_3-0-0_114077_2019-02-15_final
2019-05-22 11:36:17	ga_ls7e_ard_3-0-0_114077_2019-05-22_final
2019-07-09 11:34:32	ga_ls7e_ard_3-0-0_114077_2019-07-09_final
2019-07-25 11:33:54	ga_ls7e_ard_3-0-0_114077_2019-07-25_final

Return to ga_ls7e_ard_3 whole collection overview

ga_ls7e_ard_3: Geoscience Australia Landsat 7 Enhanced Thematic Mapper Plus Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years